Correlation Between DAX Index and Scale All

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Can any of the company-specific risk be diversified away by investing in both DAX Index and Scale All at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining DAX Index and Scale All into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DAX Index and Scale All Share, you can compare the effects of market volatilities on DAX Index and Scale All and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in DAX Index with a short position of Scale All. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Scale All.

Diversification Opportunities for DAX Index and Scale All

-0.31
  Correlation Coefficient

Very good diversification

The 3 months correlation between DAX and Scale is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Scale All Share in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scale All Share and DAX Index is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on DAX Index are associated (or correlated) with Scale All. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scale All Share has no effect on the direction of DAX Index i.e., DAX Index and Scale All go up and down completely randomly.
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Pair Corralation between DAX Index and Scale All

Assuming the 90 days trading horizon DAX Index is expected to under-perform the Scale All. But the index apears to be less risky and, when comparing its historical volatility, DAX Index is 2.06 times less risky than Scale All. The index trades about -0.28 of its potential returns per unit of risk. The Scale All Share is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest  115,914  in Scale All Share on October 6, 2024 and sell it today you would lose (1,077) from holding Scale All Share or give up 0.93% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy94.44%
ValuesDaily Returns

DAX Index  vs.  Scale All Share

 Performance 
       Timeline  

DAX Index and Scale All Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Scale All

The main advantage of trading using opposite DAX Index and Scale All positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Scale All can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Scale All will offset losses from the drop in Scale All's long position.
The idea behind DAX Index and Scale All Share pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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